Top 10 institutional research use cases for Token Terminal: 1. Measure issuance and flows. See where assets are issued, redeemed, and bridged, and how their supply moves across blockchains. 2. Decompose growth and decline. Separate price changes from issuance and redemptions. Identify which reference assets, tokens, issuers, chains, and venues account for changes in each metric. 3. Examine productive use in DeFi. Measure the share of an asset’s onchain market cap deposited into DeFi venues, and analyze how it is used in lending and trading. 4. Analyze onchain price discovery through perpetuals. Analyze prices in 24/7 perpetual markets, including when traditional exchanges are closed. 5. Compare yields and investment constraints. Compare available APYs, liquidity, underlying assets, investor access requirements, and how yields are generated and sustained. 6. Assess fundamentals of established onchain applications. Compare users, fees, revenue, and earnings across relevant peers using standardized definitions and calculations. 7. Measure emerging agentic payment activity. Track payments initiated by AI agents. Measure the number and value of payments, and the number of participants. 8. Map issuer jurisdictions, investor eligibility, and holder rights. Compare tokenized assets by issuer jurisdiction, investor eligibility, holder rights, and onchain activity. 9. Audit every metric in depth. Trace each metric from the underlying blockchain data to the reported figure, including the calculation steps. Our team maintains this data in collaboration with blockchain, application, and asset issuer teams. 10. Discover onchain alpha with Token Terminal data. Use Token Terminal data throughout the investment process: discover opportunities, conduct diligence, benchmark alternatives, invest, monitor, and exit.